Ailloud Étienne
University of Zurich, Switzerland
- Article 61 : Towards More Linguistically Constrained Coreference Resolution
- Auteurs :
Ailloud Étienne (University of Zurich, Switzerland)
Klenner Manfred (University of Zurich, Switzerland)
- Conférence : TALN
- Type : Communication orale
- Résumé : We propose a filter model of coreference resolution that is based on the notions of transitivity and linguistic exclusivity. Starting from the general assumption that coreference sets remain coherent throughout a text, our model enforces the checking of some compatibility criteria (filters) between coreference candidates, improving resolution performance. This filtering is achieved at different stages of the workflow of machine-learning-based coreference resolution, including at the standard learning and testing steps, where it may help reduce the computational load and better distribute the actual occurrences to be learned.
- Format PDF
- Article 152 : Composition multilingue de sentiments
- Auteurs :
Petrakis Stefanos (University of Zurich, Switzerland)
Klenner Manfred (University of Zurich, Switzerland)
Ailloud Étienne (University of Zurich, Switzerland)
Fahrni Angela (University of Zurich, Switzerland)
- Conférence : TALN
- Type : Démonstration
- Résumé : Nous présentons ici PolArt, un outil multilingue pour l'analyse de sentiments qui aborde la composition des sentiments en appliquant des transducteurs en cascade. La compositionnalité est assurée au moyen de polarités préalables extraites d'un lexique et des règles de composition appliquées de manière incrémentielle.
- Format PDF